diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/README.md b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/README.md
new file mode 100644
index 000000000000..6e04d853c4e1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/README.md
@@ -0,0 +1,152 @@
+
+
+# toRotr90
+
+> Return a new ndarray where a matrix (or a stack of matrices) is rotated 90 degrees clockwise.
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var toRotr90 = require( '@stdlib/ndarray/base/to-rotr90' );
+```
+
+#### toRotr90( x, k )
+
+Returns a new ndarray where a matrix (or a stack of matrices) is rotated 90 degrees clockwise.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+
+var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
+// returns [ [ 1, 2 ], [ 3, 4 ] ]
+
+var y = toRotr90( x, 1 );
+// returns [ [ 3, 1 ], [ 4, 2 ] ]
+```
+
+The function accepts the following arguments:
+
+- **x**: input ndarray.
+- **k**: number of times to rotate by 90 degrees. Positive values rotate clockwise. Negative values rotate counterclockwise.
+
+
+
+
+
+
+
+
+
+## Notes
+
+- If `k > 0`, the function rotates the matrix clockwise.
+- If `k < 0`, the function rotates the matrix counterclockwise.
+- If provided an ndarray with fewer than two dimensions, the function does not perform a rotation and simply returns a copy of the input ndarray.
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var toRotr90 = require( '@stdlib/ndarray/base/to-rotr90' );
+
+// Create a 2x3 matrix:
+var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] );
+
+// Rotate 90 degrees clockwise:
+var y = toRotr90( x, 1 );
+var arr = ndarray2array( y );
+// returns [ [ 4, 1 ], [ 5, 2 ], [ 6, 3 ] ]
+
+// Rotate 180 degrees:
+y = toRotr90( x, 2 );
+arr = ndarray2array( y );
+// returns [ [ 6, 5, 4 ], [ 3, 2, 1 ] ]
+
+// Rotate 270 degrees clockwise (equivalent to 90 degrees counterclockwise):
+y = toRotr90( x, 3 );
+arr = ndarray2array( y );
+// returns [ [ 3, 6 ], [ 2, 5 ], [ 1, 4 ] ]
+
+// Rotate 360 degrees (equivalent to no rotation):
+y = toRotr90( x, 4 );
+arr = ndarray2array( y );
+// returns [ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
+
+// Rotate 90 degrees counterclockwise (equivalent to 270 degrees clockwise):
+y = toRotr90( x, -1 );
+arr = ndarray2array( y );
+// returns [ [ 3, 6 ], [ 2, 5 ], [ 1, 4 ] ]
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/benchmark/benchmark.js
new file mode 100644
index 000000000000..85cda094d665
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/benchmark/benchmark.js
@@ -0,0 +1,272 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var baseEmpty = require( '@stdlib/ndarray/base/empty' );
+var empty = require( '@stdlib/ndarray/empty' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var toRotr90 = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s::2d,base', pkg ), function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2, 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2, 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2, 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2, 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2, 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toRotr90( values[ i%values.length ], 1 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::2d,non-base', pkg ), function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toRotr90( values[ i%values.length ], 1 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::3d,base', pkg ), function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toRotr90( values[ i%values.length ], 1 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::3d,non-base', pkg ), function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toRotr90( values[ i%values.length ], 1 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::4d,base', pkg ), function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2, 2, 2, 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toRotr90( values[ i%values.length ], 1 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::4d,non-base', pkg ), function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toRotr90( values[ i%values.length ], 1 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::5d,base', pkg ), function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2, 2, 2, 2, 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toRotr90( values[ i%values.length ], 1 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::5d,non-base', pkg ), function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toRotr90( values[ i%values.length ], 1 );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/repl.txt
new file mode 100644
index 000000000000..0a436657050c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/repl.txt
@@ -0,0 +1,38 @@
+
+{{alias}}( x, k )
+ Returns a new ndarray where a matrix (or a stack of matrices) is rotated 90
+ degrees clockwise.
+
+ If `k > 0`, the function rotates the matrix clockwise. If `k < 0`, the
+ function rotates the matrix counterclockwise.
+
+ If provided an ndarray with fewer than two dimensions, the function does not
+ perform a rotation and simply returns a copy of the input ndarray.
+
+ Parameters
+ ----------
+ x: ndarray
+ Input array.
+
+ k: integer
+ Number of times to rotate by 90 degrees.
+
+ Returns
+ -------
+ out: ndarray
+ Output array.
+
+ Examples
+ --------
+ > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2 ], [ 3, 4 ] ] )
+ [ [ 1, 2 ], [ 3, 4 ] ]
+ > var y = {{alias}}( x, 1 )
+ [ [ 3, 1 ], [ 4, 2 ] ]
+ > y = {{alias}}( x, 2 )
+ [ [ 4, 3 ], [ 2, 1 ] ]
+ > y = {{alias}}( x, 3 )
+ [ [ 2, 4 ], [ 1, 3 ] ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/types/index.d.ts
new file mode 100644
index 000000000000..792beee39c41
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/types/index.d.ts
@@ -0,0 +1,46 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Returns a new ndarray where a matrix (or a stack of matrices) is rotated 90 degrees clockwise.
+*
+* @param x - input array
+* @param k - number of times to rotate by 90 degrees
+* @returns output array
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+*
+* var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
+* // returns [ [ 1, 2 ], [ 3, 4 ] ]
+*
+* var y = toRotr90( x, 1 );
+* // returns [ [ 3, 1 ], [ 4, 2 ] ]
+*/
+declare function toRotr90 = typedndarray>( x: U, k: number ): U;
+
+
+// EXPORTS //
+
+export = toRotr90;
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/types/test.ts
new file mode 100644
index 000000000000..98a973ce6a0c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/docs/types/test.ts
@@ -0,0 +1,76 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import zeros = require( '@stdlib/ndarray/base/zeros' );
+import toRotr90 = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const sh = [ 2, 2 ];
+ const ord = 'row-major';
+
+ toRotr90( zeros( 'float64', sh, ord ), 1 ); // $ExpectType float64ndarray
+ toRotr90( zeros( 'float32', sh, ord ), 1 ); // $ExpectType float32ndarray
+ toRotr90( zeros( 'complex128', sh, ord ), 1 ); // $ExpectType complex128ndarray
+ toRotr90( zeros( 'complex64', sh, ord ), 1 ); // $ExpectType complex64ndarray
+ toRotr90( zeros( 'int32', sh, ord ), 1 ); // $ExpectType int32ndarray
+ toRotr90( zeros( 'int16', sh, ord ), 1 ); // $ExpectType int16ndarray
+ toRotr90( zeros( 'int8', sh, ord ), 1 ); // $ExpectType int8ndarray
+ toRotr90( zeros( 'uint32', sh, ord ), 1 ); // $ExpectType uint32ndarray
+ toRotr90( zeros( 'uint16', sh, ord ), 1 ); // $ExpectType uint16ndarray
+ toRotr90( zeros( 'uint8', sh, ord ), 1 ); // $ExpectType uint8ndarray
+ toRotr90( zeros( 'uint8c', sh, ord ), 1 ); // $ExpectType uint8cndarray
+ toRotr90( zeros( 'generic', sh, ord ), 1 ); // $ExpectType genericndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an ndarray...
+{
+ toRotr90( '10', 1 ); // $ExpectError
+ toRotr90( 10, 1 ); // $ExpectError
+ toRotr90( false, 1 ); // $ExpectError
+ toRotr90( true, 1 ); // $ExpectError
+ toRotr90( null, 1 ); // $ExpectError
+ toRotr90( void 0, 1 ); // $ExpectError
+ toRotr90( [], 1 ); // $ExpectError
+ toRotr90( {}, 1 ); // $ExpectError
+ toRotr90( ( x: number ): number => x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const x = zeros( 'float64', [ 2, 2 ], 'row-major' );
+
+ toRotr90( x, '10' ); // $ExpectError
+ toRotr90( x, false ); // $ExpectError
+ toRotr90( x, true ); // $ExpectError
+ toRotr90( x, null ); // $ExpectError
+ toRotr90( x, void 0 ); // $ExpectError
+ toRotr90( x, [] ); // $ExpectError
+ toRotr90( x, {} ); // $ExpectError
+ toRotr90( x, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ toRotr90(); // $ExpectError
+ toRotr90( zeros( 'float64', [ 2, 2 ], 'row-major' ) ); // $ExpectError
+ toRotr90( zeros( 'float64', [ 2, 2 ], 'row-major' ), 1, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/examples/index.js
new file mode 100644
index 000000000000..b0dcc76530a1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/examples/index.js
@@ -0,0 +1,51 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var toRotr90 = require( './../lib' );
+
+// Create a 2x3 matrix:
+var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] );
+
+// Rotate 90 degrees clockwise:
+var y = toRotr90( x, 1 );
+console.log( ndarray2array( y ) );
+// => [ [ 4, 1 ], [ 5, 2 ], [ 6, 3 ] ]
+
+// Rotate 180 degrees:
+y = toRotr90( x, 2 );
+console.log( ndarray2array( y ) );
+// => [ [ 6, 5, 4 ], [ 3, 2, 1 ] ]
+
+// Rotate 270 degrees clockwise:
+y = toRotr90( x, 3 );
+console.log( ndarray2array( y ) );
+// => [ [ 3, 6 ], [ 2, 5 ], [ 1, 4 ] ]
+
+// Rotate 360 degrees:
+y = toRotr90( x, 4 );
+console.log( ndarray2array( y ) );
+// => [ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
+
+// Rotate 90 degrees counterclockwise (equivalent to k=3):
+y = toRotr90( x, -1 );
+console.log( ndarray2array( y ) );
+// => [ [ 3, 6 ], [ 2, 5 ], [ 1, 4 ] ]
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/lib/index.js
new file mode 100644
index 000000000000..11c918a2b45b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/lib/index.js
@@ -0,0 +1,44 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Return a new ndarray where a matrix (or a stack of matrices) is rotated 90 degrees clockwise.
+*
+* @module @stdlib/ndarray/base/to-rotr90
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var toRotr90 = require( '@stdlib/ndarray/base/to-rotr90' );
+*
+* var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
+* // returns [ [ 1, 2 ], [ 3, 4 ] ]
+*
+* var y = toRotr90( x, 1 );
+* // returns [ [ 3, 1 ], [ 4, 2 ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/lib/main.js
new file mode 100644
index 000000000000..d840606fb96d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/lib/main.js
@@ -0,0 +1,65 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var emptyLike = require( '@stdlib/ndarray/base/empty-like' );
+var rotr90 = require( '@stdlib/ndarray/base/rotr90' );
+var assign = require( '@stdlib/ndarray/base/assign' );
+
+
+// MAIN //
+
+/**
+* Returns a new ndarray where a matrix (or a stack of matrices) is rotated 90 degrees clockwise.
+*
+* @param {ndarray} x - input array
+* @param {integer} k - number of times to rotate by 90 degrees
+* @returns {ndarray} output array
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+*
+* var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
+* // returns [ [ 1, 2 ], [ 3, 4 ] ]
+*
+* var y = toRotr90( x, 1 );
+* // returns [ [ 3, 1 ], [ 4, 2 ] ]
+*/
+function toRotr90( x, k ) {
+ var out;
+ var xr;
+
+ // Create a rotated view of the input ndarray:
+ xr = rotr90( x, k, false );
+
+ // Create an output ndarray having the same shape and data type as the rotated view:
+ out = emptyLike( xr );
+
+ // Assign the elements of the rotated view to the output ndarray:
+ assign( [ xr, out ] );
+
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = toRotr90;
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/package.json b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/package.json
new file mode 100644
index 000000000000..944382b27b6c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/package.json
@@ -0,0 +1,66 @@
+{
+ "name": "@stdlib/ndarray/base/to-rotr90",
+ "version": "0.0.0",
+ "description": "Return a new ndarray where a matrix (or a stack of matrices) is rotated 90 degrees clockwise.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdtypes",
+ "types",
+ "base",
+ "data",
+ "structure",
+ "ndarray",
+ "matrix",
+ "rotate",
+ "rotation",
+ "rotr90",
+ "clockwise",
+ "numpy.rot90"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-rotr90/test/test.js b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/test/test.js
new file mode 100644
index 000000000000..71ed864eb3f1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-rotr90/test/test.js
@@ -0,0 +1,538 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Float32Array = require( '@stdlib/array/float32' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var Complex64Array = require( '@stdlib/array/complex64' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var realf = require( '@stdlib/complex/float32/real' );
+var imagf = require( '@stdlib/complex/float32/imag' );
+var instanceOf = require( '@stdlib/assert/instance-of' );
+var base = require( '@stdlib/ndarray/base/ctor' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+var getOrder = require( '@stdlib/ndarray/order' );
+var getShape = require( '@stdlib/ndarray/shape' );
+var toRotr90 = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof toRotr90, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'when provided a zero-dimensional input array, the function returns a new zero-dimensional array', function test( t ) {
+ var actual;
+ var buf;
+ var x;
+
+ buf = new Float64Array( [ 3.14 ] );
+ x = new base( 'float64', buf, [], [ 0 ], 0, 'row-major' );
+
+ actual = toRotr90( x, 1 );
+ t.strictEqual( instanceOf( actual, base ), true, 'returns expected value' );
+ t.deepEqual( getShape( actual ), [], 'returns expected value' );
+ t.strictEqual( String( getDType( actual ) ), String( getDType( x ) ), 'returns expected value' );
+ t.strictEqual( actual.get(), x.get(), 'returns expected value' );
+ t.notEqual( getData( actual ), getData( x ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when provided a one-dimensional input array, the function returns a new one-dimensional array', function test( t ) {
+ var expected;
+ var actual;
+ var buf;
+ var x;
+
+ buf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = new base( 'float64', buf, [ 6 ], [ 1 ], 0, 'row-major' );
+
+ actual = toRotr90( x, 1 );
+ t.strictEqual( instanceOf( actual, base ), true, 'returns expected value' );
+ t.deepEqual( getShape( actual ), [ 6 ], 'returns expected value' );
+ t.strictEqual( String( getDType( actual ) ), String( getDType( x ) ), 'returns expected value' );
+ t.notEqual( getData( actual ), getData( x ), 'returns expected value' );
+ expected = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+ t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where a matrix is rotated clockwise for all values of k (dtype=float64, base, row-major)', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = new base( 'float64', buf, [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+ // k=0 (no rotation):
+ arr = toRotr90( x, 0 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.strictEqual( String( getDType( arr ) ), String( getDType( x ) ), 'returns expected value' );
+ t.deepEqual( getShape( arr ), [ 2, 3 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ t.strictEqual( getOrder( arr ), getOrder( x ), 'returns expected value' );
+ t.notEqual( arr, x, 'returns expected value' );
+ expected = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=1 (90 degrees clockwise):
+ arr = toRotr90( x, 1 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.strictEqual( String( getDType( arr ) ), String( getDType( x ) ), 'returns expected value' );
+ t.deepEqual( getShape( arr ), [ 3, 2 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 4.0, 1.0 ], [ 5.0, 2.0 ], [ 6.0, 3.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=2 (180 degrees):
+ arr = toRotr90( x, 2 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.strictEqual( String( getDType( arr ) ), String( getDType( x ) ), 'returns expected value' );
+ t.deepEqual( getShape( arr ), [ 2, 3 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 6.0, 5.0, 4.0 ], [ 3.0, 2.0, 1.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=3 (270 degrees clockwise):
+ arr = toRotr90( x, 3 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.strictEqual( String( getDType( arr ) ), String( getDType( x ) ), 'returns expected value' );
+ t.deepEqual( getShape( arr ), [ 3, 2 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 3.0, 6.0 ], [ 2.0, 5.0 ], [ 1.0, 4.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where a matrix is rotated clockwise for all values of k (dtype=float64, base, column-major)', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = new base( 'float64', buf, [ 2, 3 ], [ 1, 2 ], 0, 'column-major' );
+
+ // In column-major with strides [1,2], x = [ [ 1.0, 3.0, 5.0 ], [ 2.0, 4.0, 6.0 ] ]
+
+ // k=1:
+ arr = toRotr90( x, 1 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.deepEqual( getShape( arr ), [ 3, 2 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 2.0, 1.0 ], [ 4.0, 3.0 ], [ 6.0, 5.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=2:
+ arr = toRotr90( x, 2 );
+ t.deepEqual( getShape( arr ), [ 2, 3 ], 'returns expected value' );
+ expected = [ [ 6.0, 4.0, 2.0 ], [ 5.0, 3.0, 1.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=3:
+ arr = toRotr90( x, 3 );
+ t.deepEqual( getShape( arr ), [ 3, 2 ], 'returns expected value' );
+ expected = [ [ 5.0, 6.0 ], [ 3.0, 4.0 ], [ 1.0, 2.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where a matrix is rotated clockwise for all values of k (dtype=float64, non-base)', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = array( buf, {
+ 'shape': [ 2, 3 ],
+ 'dtype': 'float64'
+ });
+
+ // k=0:
+ arr = toRotr90( x, 0 );
+ t.strictEqual( instanceOf( arr, ndarray ), true, 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=1:
+ arr = toRotr90( x, 1 );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 4.0, 1.0 ], [ 5.0, 2.0 ], [ 6.0, 3.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=2:
+ arr = toRotr90( x, 2 );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 6.0, 5.0, 4.0 ], [ 3.0, 2.0, 1.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=3:
+ arr = toRotr90( x, 3 );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 3.0, 6.0 ], [ 2.0, 5.0 ], [ 1.0, 4.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where a matrix is rotated clockwise for all values of k (dtype=float32)', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = new base( 'float32', buf, [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+ // k=1:
+ arr = toRotr90( x, 1 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.strictEqual( String( getDType( arr ) ), String( getDType( x ) ), 'returns expected value' );
+ t.deepEqual( getShape( arr ), [ 3, 2 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 4.0, 1.0 ], [ 5.0, 2.0 ], [ 6.0, 3.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=2:
+ arr = toRotr90( x, 2 );
+ t.deepEqual( getShape( arr ), [ 2, 3 ], 'returns expected value' );
+ expected = [ [ 6.0, 5.0, 4.0 ], [ 3.0, 2.0, 1.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=3:
+ arr = toRotr90( x, 3 );
+ t.deepEqual( getShape( arr ), [ 3, 2 ], 'returns expected value' );
+ expected = [ [ 3.0, 6.0 ], [ 2.0, 5.0 ], [ 1.0, 4.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // Non-base, k=1:
+ x = array( buf, {
+ 'shape': [ 2, 3 ],
+ 'dtype': 'float32'
+ });
+ arr = toRotr90( x, 1 );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 4.0, 1.0 ], [ 5.0, 2.0 ], [ 6.0, 3.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where a matrix is rotated clockwise (dtype=complex128, base)', function test( t ) {
+ var arr;
+ var buf;
+ var v;
+ var x;
+
+ buf = new Complex128Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0 ] );
+ x = new base( 'complex128', buf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ // k=1 (90 degrees clockwise):
+ arr = toRotr90( x, 1 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.strictEqual( String( getDType( arr ) ), String( getDType( x ) ), 'returns expected value' );
+ t.deepEqual( getShape( arr ), [ 2, 2 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+
+ v = arr.get( 0, 0 );
+ t.strictEqual( real( v ), 3.0, 'returns expected value' );
+ t.strictEqual( imag( v ), 3.0, 'returns expected value' );
+ v = arr.get( 0, 1 );
+ t.strictEqual( real( v ), 1.0, 'returns expected value' );
+ t.strictEqual( imag( v ), 1.0, 'returns expected value' );
+ v = arr.get( 1, 0 );
+ t.strictEqual( real( v ), 4.0, 'returns expected value' );
+ t.strictEqual( imag( v ), 4.0, 'returns expected value' );
+ v = arr.get( 1, 1 );
+ t.strictEqual( real( v ), 2.0, 'returns expected value' );
+ t.strictEqual( imag( v ), 2.0, 'returns expected value' );
+
+ // k=2:
+ arr = toRotr90( x, 2 );
+ v = arr.get( 0, 0 );
+ t.strictEqual( real( v ), 4.0, 'returns expected value' );
+ t.strictEqual( imag( v ), 4.0, 'returns expected value' );
+ v = arr.get( 0, 1 );
+ t.strictEqual( real( v ), 3.0, 'returns expected value' );
+ t.strictEqual( imag( v ), 3.0, 'returns expected value' );
+ v = arr.get( 1, 0 );
+ t.strictEqual( real( v ), 2.0, 'returns expected value' );
+ t.strictEqual( imag( v ), 2.0, 'returns expected value' );
+ v = arr.get( 1, 1 );
+ t.strictEqual( real( v ), 1.0, 'returns expected value' );
+ t.strictEqual( imag( v ), 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where a matrix is rotated clockwise (dtype=complex64, base)', function test( t ) {
+ var arr;
+ var buf;
+ var v;
+ var x;
+
+ buf = new Complex64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0 ] );
+ x = new base( 'complex64', buf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ // k=1 (90 degrees clockwise):
+ arr = toRotr90( x, 1 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.strictEqual( String( getDType( arr ) ), String( getDType( x ) ), 'returns expected value' );
+ t.deepEqual( getShape( arr ), [ 2, 2 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+
+ v = arr.get( 0, 0 );
+ t.strictEqual( realf( v ), 3.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), 3.0, 'returns expected value' );
+ v = arr.get( 0, 1 );
+ t.strictEqual( realf( v ), 1.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), 1.0, 'returns expected value' );
+ v = arr.get( 1, 0 );
+ t.strictEqual( realf( v ), 4.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), 4.0, 'returns expected value' );
+ v = arr.get( 1, 1 );
+ t.strictEqual( realf( v ), 2.0, 'returns expected value' );
+ t.strictEqual( imagf( v ), 2.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where a matrix is rotated clockwise for all values of k (dtype=generic)', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = [ 1, 2, 3, 4, 5, 6 ];
+ x = new base( 'generic', buf, [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+ // k=0:
+ arr = toRotr90( x, 0 );
+ t.strictEqual( instanceOf( arr, base ), true, 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 1, 2, 3 ], [ 4, 5, 6 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=1:
+ arr = toRotr90( x, 1 );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 4, 1 ], [ 5, 2 ], [ 6, 3 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=2:
+ arr = toRotr90( x, 2 );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 6, 5, 4 ], [ 3, 2, 1 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=3:
+ arr = toRotr90( x, 3 );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 3, 6 ], [ 2, 5 ], [ 1, 4 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // Non-base, k=1:
+ x = array( buf, {
+ 'shape': [ 2, 3 ],
+ 'dtype': 'generic'
+ });
+ arr = toRotr90( x, 1 );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [ [ 4, 1 ], [ 5, 2 ], [ 6, 3 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports negative and large values of k', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = new base( 'float64', buf, [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+ // k=-1 (90 degrees counterclockwise):
+ arr = toRotr90( x, -1 );
+ expected = [ [ 3.0, 6.0 ], [ 2.0, 5.0 ], [ 1.0, 4.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=-2:
+ arr = toRotr90( x, -2 );
+ expected = [ [ 6.0, 5.0, 4.0 ], [ 3.0, 2.0, 1.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=-3:
+ arr = toRotr90( x, -3 );
+ expected = [ [ 4.0, 1.0 ], [ 5.0, 2.0 ], [ 6.0, 3.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=-4:
+ arr = toRotr90( x, -4 );
+ expected = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=5 (same as k=1):
+ arr = toRotr90( x, 5 );
+ expected = [ [ 4.0, 1.0 ], [ 5.0, 2.0 ], [ 6.0, 3.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=8 (same as k=0):
+ arr = toRotr90( x, 8 );
+ expected = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=-5 (same as k=-1):
+ arr = toRotr90( x, -5 );
+ expected = [ [ 3.0, 6.0 ], [ 2.0, 5.0 ], [ 1.0, 4.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=-8 (same as k=0):
+ arr = toRotr90( x, -8 );
+ expected = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a stack of matrices for all values of k', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ];
+ x = new base( 'generic', buf, [ 2, 2, 3 ], [ 6, 3, 1 ], 0, 'row-major' );
+
+ // k=0:
+ arr = toRotr90( x, 0 );
+ t.deepEqual( getShape( arr ), [ 2, 2, 3 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [
+ [ [ 1, 2, 3 ], [ 4, 5, 6 ] ],
+ [ [ 7, 8, 9 ], [ 10, 11, 12 ] ]
+ ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=1:
+ arr = toRotr90( x, 1 );
+ t.deepEqual( getShape( arr ), [ 2, 3, 2 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [
+ [ [ 4, 1 ], [ 5, 2 ], [ 6, 3 ] ],
+ [ [ 10, 7 ], [ 11, 8 ], [ 12, 9 ] ]
+ ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=2:
+ arr = toRotr90( x, 2 );
+ t.deepEqual( getShape( arr ), [ 2, 2, 3 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [
+ [ [ 6, 5, 4 ], [ 3, 2, 1 ] ],
+ [ [ 12, 11, 10 ], [ 9, 8, 7 ] ]
+ ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=3:
+ arr = toRotr90( x, 3 );
+ t.deepEqual( getShape( arr ), [ 2, 3, 2 ], 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+ expected = [
+ [ [ 3, 6 ], [ 2, 5 ], [ 1, 4 ] ],
+ [ [ 9, 12 ], [ 8, 11 ], [ 7, 10 ] ]
+ ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a non-zero offset', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = new base( 'float64', buf, [ 2, 3 ], [ 3, 1 ], 2, 'row-major' );
+
+ // k=0:
+ arr = toRotr90( x, 0 );
+ expected = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=1:
+ arr = toRotr90( x, 1 );
+ expected = [ [ 4.0, 1.0 ], [ 5.0, 2.0 ], [ 6.0, 3.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=2:
+ arr = toRotr90( x, 2 );
+ expected = [ [ 6.0, 5.0, 4.0 ], [ 3.0, 2.0, 1.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ // k=3:
+ arr = toRotr90( x, 3 );
+ expected = [ [ 3.0, 6.0 ], [ 2.0, 5.0 ], [ 1.0, 4.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'rotating four times returns the original arrangement', function test( t ) {
+ var expected;
+ var arr;
+ var buf;
+ var x;
+
+ buf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = new base( 'float64', buf, [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+ arr = toRotr90( x, 1 );
+ arr = toRotr90( arr, 1 );
+ arr = toRotr90( arr, 1 );
+ arr = toRotr90( arr, 1 );
+
+ expected = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ];
+ t.deepEqual( ndarray2array( arr ), expected, 'returns expected value' );
+ t.notEqual( getData( arr ), getData( x ), 'returns expected value' );
+
+ t.end();
+});